1. Multi-objective Mission Planning for UAS with hybrid propulsion systemsHybrid propulsion systems are being introduced onboard UAS with the main objective of reducing the fuel consumption. The process of mission planning should look to optimise the efficiencies offered by hybrid propulsion systems. However, such efficiencies may come at the expense of other factors important in the mission planning for UAS e.g. mission (time, distance) and payload efficiency, and airspace rules and weather.
Typical UAS mission profile requiring optimisal use of a hybrid propulsion system This research investigates the development of a multi-objective mission planning system which optimises the use of hybrid propulsion systems onboard fixed wing UASs. Current research can be divided into two sections:
The first section focuses on the development of a simulation model of a hybrid powerplant onboard an UAS in the MATLAB® Simulink® simulation environment. The simulation model is capable of executing a specified flight mission inputted as a series of waypoints. A typical mission scenario includes basic UAS operations such as Climb, Cruise, Descent and Loiter, such as shown in the following mission profile. The Loiter phase enables specific tasks that require flying at a low altitude, such as video recording, to be carried out. The second section focuses on investigating the use of evolutionary algorithms (EAs) in the area of multi-objective optimisation of a flight mission for UAS. EAs have been proven successful in other areas of optimisation, such as aircraft design. Although computationally more intensive than traditional gradient-based methods, preliminary results have shown that EAs are able to provide more optimised results than gradient-based methods. Ultimately, the two sections will be combined to provide multi-objective mission planning capabilities for hybrid-powered UAS. This research employs techniques drawn from the System Design and Optimization Research Theme.
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